Bouchard Kévin, Bergeron Frédéric et Giroux Sylvain. (2017). Applying data mining in smart home. Dans Bruno Bouchard (dir.), Smart technology in healthcare. (p. 146-177). Boca Raton : CRC Press.
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Résumé
This chapter introduces the main data-mining approaches and the works of researchers that applied them in the smart home context. It provides understandable material to exploit data mining for activity recognition in a smart home. The chapter discusses the subject to be used as a basis for further development and research. It discusses the general knowledge related to data mining. The chapter defines what it is and describes the main challenges related to research and application of data mining. The principles are reviewed along with the main limitations for their application in smart home research. The chapter covers the association rules on mining algorithms. It reviews the basic principles and the main works related to smart home research. The chapter investigates clustering for activity recognition. It explains the main algorithms and provides examples of their applications.
| Type de document: | Chapitre de livre |
|---|---|
| Date: | 2017 |
| Lieu de publication: | Boca Raton |
| Sujets: | Sciences naturelles et génie > Sciences mathématiques > Informatique Sciences naturelles et génie > Sciences mathématiques > Statistiques |
| Département, module, service et unité de recherche: | Départements et modules > Département d'informatique et de mathématique |
| Éditeurs: | Bouchard, Bruno |
| Mots-clés: | Smart homes, data mining |
| Déposé le: | 11 févr. 2021 20:45 |
|---|---|
| Dernière modification: | 11 févr. 2021 20:45 |
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